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Using collaborative genealogy data to study migration: a research note
The History of the Family ( IF 1.0 ) Pub Date : 2019-07-17 , DOI: 10.1080/1081602x.2019.1641130
Arthur Charpentier 1 , Ewen Gallic 2
Affiliation  

ABSTRACT The digital age allows data collection to be done on a large scale and at low cost. This is the case of genealogy trees, which flourish on numerous digital platforms thanks to the collaboration of a mass of individuals wishing to trace their origins and share them with other users. The family trees constituted in this way contain information on the links between individuals and their ancestors, which can be used in historical demography, and more particularly to study migration phenomena. The case of 19th century France is taken as an example, using data from the family trees of 238,009 users of the Geneanet website, or 2.5 million (unique) individuals. Using the geographical coordinates of the birthplaces of 25,485 ancestors born in France between 1800 and 1804 and those of their descendants (24,516 children, 29,715 grandchildren and 62,165 great-grandchildren), we study migration between generations at several geographical scales. We start with a broad scale, that of the departments, to reach a much finer one, that of the cities. Our results are consistent with those of the literature traditionally based on the parish or civil status registers. The results show that the use of collaborative genealogy data not only makes it possible to support previous findings of the literature, but also to enrich them.

中文翻译:

使用协作家谱数据研究迁徙:研究笔记

摘要数字时代使数据收集能够以低成本大规模进行。族谱树就是这种情况,由于众多希望追踪其起源并与其他用户共享的个体的协作,族谱树在众多数字平台上蓬勃发展。以这种方式构成的家谱包含有关个人及其祖先之间联系的信息,这些信息可用于历史人口统计,尤其是用于研究移民现象。以19世纪法国为例,使用来自Geneanet网站的238,009位用户或250万(独特)个人的家谱数据。使用1800年至1804年之间在法国出生的25,485个祖先及其子孙后代(24,516个孩子,29,715个孙子和62个祖先,165个曾孙),我们研究了几个地理尺度的世代之间的迁移。我们从部门的广泛规模开始,以达到城市的更精细的规模。我们的结果与传统上基于教区或公民身份记录的文献的结果一致。结果表明,合作家谱数据的使用不仅可以支持文献的先前发现,而且可以充实它们。
更新日期:2019-07-17
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